北京市农林科学院机构知识库

Survey of Support Vector Machine in the Processing of Remote Sensing Image

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文献类型：外文期刊

作者： Li, Su ¹ ; Wang, Wenchao ² ; Li, Luwen ¹ ; Zhou, JianJun ¹ ;

作者机构： 1.Beijing Technol & Business Univ, Coll Comp & Informat Engn, Beijing 100048, Peoples R China

2.Beijing Acad Agr & Forestry Sci, Beijing Res Ctr Intelligent Equipment Agr, Beijing 100097, Peoples R China

关键词： remote sensing;image processing;Support vector machine

期刊名称：ADVANCED TECHNOLOGIES IN MANUFACTURING, ENGINEERING AND MATERIALS, PTS 1-3

ISSN： 1022-6680

年卷期： 2013 年 774-776 卷

页码：

收录情况： SCI

摘要： Support vector machine is a kind of machine learning algorithm which is based on statistical learning theory and VC dimension theory and structural risk minimization principle, it can solve data classification and regression problems. With the in-depth research of support vector machine, in the field of remote sensing image processing applications are also obtained the very big development. This paper first gives a brief introduction of the theory of support vector machine, and then summarized the progress in remote sensing image compression, geometric correction of remote sensing images, processing of remote sensing image data classification research, finally proposed the trend of the support vector machine in application and development in the field of remote sensing image processing problems.

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